Access to IMO Health's Knowledge Graph enables AI systems to move beyond one-off lookups and toward agentic workflows that require stable semantics, richer inference, and traceable explainability.
A medical knowledge graph is a specific way that researchers can organize and display information for use in medical research and clinical applications. The concept of a knowledge graph was originally ...
In the next wave of healthcare AI, differentiation will turn less on model sophistication and more on the quality and ...
The figure depicts the four-step，Graph-based Retrieval - Augmented Generation (RAG) process for the RSA - KG system, which aims to integrate multimodal data for RSA diagnosis and treatment. Recurrent ...
QIAGEN (NYSE: QGEN; Frankfurt Prime Standard: QIA) announced at the 2026 BIO-IT World Conference & Expo in Boston that the QIAGEN Digital Insights bioinformatics business and its curated knowledge ...
The healthcare industry has no shortage of clinical knowledge. In my experience working with several healthcare clients, I’ve noticed that what it lacks instead is a reliable way to apply that ...
New GraphQL and MCP-based access let AI agents and applications query the living clinical context used by 90% of U.S. clinicians, powering more accurate and explainable outcomes IMO Health is a ...
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